Last updated on 2023-04-30 15:53:00 CEST.
Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
---|---|---|---|---|---|---|
r-devel-linux-x86_64-debian-clang | 1.1 | 8.11 | 75.35 | 83.46 | OK | |
r-devel-linux-x86_64-debian-gcc | 1.1 | 8.04 | 58.59 | 66.63 | OK | |
r-devel-linux-x86_64-fedora-clang | 1.1 | 106.26 | OK | |||
r-devel-linux-x86_64-fedora-gcc | 1.1 | 101.93 | OK | |||
r-devel-windows-x86_64 | 1.1 | 10.00 | 92.00 | 102.00 | ERROR | |
r-patched-linux-x86_64 | 1.1 | 8.24 | 72.11 | 80.35 | OK | |
r-release-linux-x86_64 | 1.1 | 8.51 | 72.86 | 81.37 | OK | |
r-release-macos-arm64 | 1.1 | 35.00 | OK | |||
r-release-macos-x86_64 | 1.1 | 56.00 | OK | |||
r-release-windows-x86_64 | 1.1 | 12.00 | 103.00 | 115.00 | ERROR | |
r-oldrel-macos-arm64 | 1.1 | 30.00 | OK | |||
r-oldrel-macos-x86_64 | 1.1 | 44.00 | OK | |||
r-oldrel-windows-x86_64 | 1.1 | 12.00 | 102.00 | 114.00 | ERROR |
Version: 1.1
Check: examples
Result: ERROR
Running examples in 'idmTPreg-Ex.R' failed
The error most likely occurred in:
> ### Name: TPreg
> ### Title: Regression Modeling of Transition Probabilities in a Progressive
> ### Illness-Death Model
> ### Aliases: TPreg
>
> ### ** Examples
>
> data(colonTPreg)
>
> co11 <- TPreg( ~ Age + Nodes + treatment, colonTPreg, link = "logit", s = 50, R = 19, t = 200,
+ trans = "11", ncores = 1)
Warning in TPreg(~Age + Nodes + treatment, colonTPreg, link = "logit", s = 50, :
Nodes variable in 'data' has missing value(s),
Warning in model.matrix.default(mt, mf, contrasts) :
non-list contrasts argument ignored
> co11
Call:
TPreg(formula = ~Age + Nodes + treatment, data = colonTPreg,
link = "logit", s = 50, t = 200, R = 19, trans = "11", ncores = 1)
Transition:
[1] "11"
(s,t):
[1] 50 200
Coefficients:
Estimate St.Err LW.L UP.L P.value
X.Intercept. 2.492609419 0.624885598 1.26783365 3.71738519 6.637894e-05
Age -0.005980971 0.008180898 -0.02201553 0.01005359 4.647243e-01
Nodes -0.074748098 0.021912186 -0.11769598 -0.03180021 6.466411e-04
treatmentLev 0.039682347 0.244120299 -0.43879344 0.51815813 8.708708e-01
treatmentLev.5FU 0.929566117 0.361193253 0.22162734 1.63750489 1.006472e-02
[1] "18 observations deleted due to missingness from 'data'"
> summary(co11)
Call:
TPreg(formula = ~Age + Nodes + treatment, data = colonTPreg,
link = "logit", s = 50, t = 200, R = 19, trans = "11", ncores = 1)
(s,t):
[1] 50 200
Transition 11 :
Coefficients:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 45.793521 -0.401888881 6.26264521 -18.53823536 3.1044597
2 185 2.636107 -0.007185251 -0.07924264 0.10143607 1.0470649
3 200 2.492609 -0.005980971 -0.07474810 0.03968235 0.9295661
Standard Errors:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 4.674885e+06 3.590076751 17.77999414 4.674911e+06 4.674911e+06
2 185 9.307016e-01 0.014216139 0.03842160 3.418259e-01 4.812085e-01
3 200 6.248856e-01 0.008180898 0.02191219 2.441203e-01 3.611933e-01
Lower limit:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 -9.162728e+06 -7.43843931 -28.586143 -9.162844e+06 -9.162822e+06
2 185 8.119316e-01 -0.03504888 -0.154549 -5.685426e-01 1.038962e-01
3 200 1.267834e+00 -0.02201553 -0.117696 -4.387934e-01 2.216273e-01
Upper limit:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 9.162820e+06 6.63466155 41.111433725 9.162807e+06 9.162828e+06
2 185 4.460282e+00 0.02067838 -0.003936315 7.714148e-01 1.990234e+00
3 200 3.717385e+00 0.01005359 -0.031800213 5.181581e-01 1.637505e+00
p.value:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 9.999922e-01 0.9108675 0.7246658697 0.9999968 0.99999947
2 185 4.620195e-03 0.6132574 0.0391648569 0.7666591 0.02956223
3 200 6.637894e-05 0.4647243 0.0006466411 0.8708708 0.01006472
[1] "18 observation(s) deleted due to missingness from 'data'"
>
>
>
> cleanEx()
Error: connections left open:
<-CRANwin3.fb05.statistik.uni-dortmund.de:11744 (sockconn)
Execution halted
Flavor: r-devel-windows-x86_64
Version: 1.1
Check: examples
Result: ERROR
Running examples in 'idmTPreg-Ex.R' failed
The error most likely occurred in:
> ### Name: TPreg
> ### Title: Regression Modeling of Transition Probabilities in a Progressive
> ### Illness-Death Model
> ### Aliases: TPreg
>
> ### ** Examples
>
> data(colonTPreg)
>
> co11 <- TPreg( ~ Age + Nodes + treatment, colonTPreg, link = "logit", s = 50, R = 19, t = 200,
+ trans = "11", ncores = 1)
Warning in TPreg(~Age + Nodes + treatment, colonTPreg, link = "logit", s = 50, :
Nodes variable in 'data' has missing value(s),
Warning in model.matrix.default(mt, mf, contrasts) :
non-list contrasts argument ignored
> co11
Call:
TPreg(formula = ~Age + Nodes + treatment, data = colonTPreg,
link = "logit", s = 50, t = 200, R = 19, trans = "11", ncores = 1)
Transition:
[1] "11"
(s,t):
[1] 50 200
Coefficients:
Estimate St.Err LW.L UP.L P.value
X.Intercept. 2.492609419 0.81474515 0.89570892 4.08950991 0.002218007
Age -0.005980971 0.01187656 -0.02925904 0.01729709 0.614546431
Nodes -0.074748098 0.02603530 -0.12577729 -0.02371890 0.004091388
treatmentLev 0.039682347 0.31551445 -0.57872598 0.65809068 0.899913754
treatmentLev.5FU 0.929566117 0.29813358 0.34522429 1.51390794 0.001821126
[1] "18 observations deleted due to missingness from 'data'"
> summary(co11)
Call:
TPreg(formula = ~Age + Nodes + treatment, data = colonTPreg,
link = "logit", s = 50, t = 200, R = 19, trans = "11", ncores = 1)
(s,t):
[1] 50 200
Transition 11 :
Coefficients:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 45.793521 -0.401888881 6.26264521 -18.53823536 3.1044597
2 185 2.636107 -0.007185251 -0.07924264 0.10143607 1.0470649
3 200 2.492609 -0.005980971 -0.07474810 0.03968235 0.9295661
Standard Errors:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 3462.2673819 3.00406142 14.18187703 3439.6020659 3441.6830567
2 185 0.7858826 0.01233422 0.02525948 0.2102025 0.4000673
3 200 0.8147452 0.01187656 0.02603530 0.3155145 0.2981336
Lower limit:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 -6740.2505480 -6.28984927 -21.5338338 -6760.1582845 -6742.5943315
2 185 1.0957769 -0.03136032 -0.1287512 -0.3105608 0.2629330
3 200 0.8957089 -0.02925904 -0.1257773 -0.5787260 0.3452243
Upper limit:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 6831.837589 5.48607151 34.05912419 6723.0818138 6748.803251
2 185 4.176437 0.01698981 -0.02973406 0.5134330 1.831197
3 200 4.089510 0.01729709 -0.02371890 0.6580907 1.513908
p.value:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 0.9894471242 0.8935751 0.658782342 0.9956997 0.999280294
2 185 0.0007955846 0.5601988 0.001706022 0.6294056 0.008864865
3 200 0.0022180071 0.6145464 0.004091388 0.8999138 0.001821126
[1] "18 observation(s) deleted due to missingness from 'data'"
>
>
>
> cleanEx()
Error: connections left open:
<-CRANWIN2.fb05.statistik.uni-dortmund.de:11090 (sockconn)
Execution halted
Flavor: r-release-windows-x86_64
Version: 1.1
Check: examples
Result: ERROR
Running examples in 'idmTPreg-Ex.R' failed
The error most likely occurred in:
> ### Name: TPreg
> ### Title: Regression Modeling of Transition Probabilities in a Progressive
> ### Illness-Death Model
> ### Aliases: TPreg
>
> ### ** Examples
>
> data(colonTPreg)
>
> co11 <- TPreg( ~ Age + Nodes + treatment, colonTPreg, link = "logit", s = 50, R = 19, t = 200,
+ trans = "11", ncores = 1)
Warning in TPreg(~Age + Nodes + treatment, colonTPreg, link = "logit", s = 50, :
Nodes variable in 'data' has missing value(s),
Warning in model.matrix.default(mt, mf, contrasts) :
non-list contrasts argument ignored
> co11
Call:
TPreg(formula = ~Age + Nodes + treatment, data = colonTPreg,
link = "logit", s = 50, t = 200, R = 19, trans = "11", ncores = 1)
Transition:
[1] "11"
(s,t):
[1] 50 200
Coefficients:
Estimate St.Err LW.L UP.L P.value
X.Intercept. 2.492609419 0.69295909 1.13440961 3.85080923 0.000321845
Age -0.005980971 0.01061865 -0.02679352 0.01483158 0.573263607
Nodes -0.074748098 0.02550923 -0.12474620 -0.02475000 0.003387037
treatmentLev 0.039682347 0.29056402 -0.52982312 0.60918782 0.891370639
treatmentLev.5FU 0.929566117 0.39699412 0.15145764 1.70767460 0.019205859
[1] "18 observations deleted due to missingness from 'data'"
> summary(co11)
Call:
TPreg(formula = ~Age + Nodes + treatment, data = colonTPreg,
link = "logit", s = 50, t = 200, R = 19, trans = "11", ncores = 1)
(s,t):
[1] 50 200
Transition 11 :
Coefficients:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 -895.023387 -0.401888881 6.26264521 922.27867219 943.9213673
2 185 2.636107 -0.007185251 -0.07924264 0.10143607 1.0470649
3 200 2.492609 -0.005980971 -0.07474810 0.03968235 0.9295661
Standard Errors:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 1.010889e+06 2.90985167 1.920238e+04 1.005954e+06 1.005955e+06
2 185 6.129251e-01 0.01006667 2.137456e-02 2.586982e-01 3.086813e-01
3 200 6.929591e-01 0.01061865 2.550923e-02 2.905640e-01 3.969941e-01
Lower limit:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 -1.982237e+06 -6.10519815 -3.763041e+04 -1.970747e+06 -1.970728e+06
2 185 1.434774e+00 -0.02691592 -1.211368e-01 -4.056125e-01 4.420495e-01
3 200 1.134410e+00 -0.02679352 -1.247462e-01 -5.298231e-01 1.514576e-01
Upper limit:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 1.980447e+06 5.30142039 3.764294e+04 1.972592e+06 1.972616e+06
2 185 3.837440e+00 0.01254542 -3.734851e-02 6.084846e-01 1.652080e+00
3 200 3.850809e+00 0.01483158 -2.475000e-02 6.091878e-01 1.707675e+00
p.value:
time X.Intercept. Age Nodes treatmentLev treatmentLev.5FU
1 56 9.992936e-01 0.8901510 0.9997397788 0.9992685 0.9992513184
2 185 1.701343e-05 0.4753716 0.0002094518 0.6949829 0.0006936977
3 200 3.218450e-04 0.5732636 0.0033870370 0.8913706 0.0192058586
[1] "18 observation(s) deleted due to missingness from 'data'"
>
>
>
> cleanEx()
Error: connections left open:
<-CRANWIN2.fb05.statistik.uni-dortmund.de:11787 (sockconn)
Execution halted
Flavor: r-oldrel-windows-x86_64